Showing 5 open source projects for "ranking"

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  • 1
    Orange Data Mining

    Orange Data Mining

    Orange: Interactive data analysis

    ...Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for rapid qualitative analysis with clean visualizations. Graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy. Place widgets on the canvas, connect them, load your datasets and harvest the insight! ...
    Downloads: 50 This Week
    Last Update:
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  • 2
    AI learning

    AI learning

    AiLearning, data analysis plus machine learning practice

    ...The number of Github Stars exceeds 60k, and it ranks in the top 100 of all Github organizations. The daily up of all its websites exceeds 4k, and the peak of Alexa ranking is 20k. Our core members are certified as CSDN blog experts and short-book programmers as excellent authors. We have established ApacheCN, a non-profit document, and tutorial translation project.
    Downloads: 0 This Week
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  • 3
    Priority Estimation Tool (AHP)

    Priority Estimation Tool (AHP)

    PriEsT is a decision making tool for Analytic Hierarchy Process (AHP).

    Priorty Estimation Tool (PriEsT) is a decision analysis tool. You can use it for ranking the options you have, or alternatively, you may use it for resource allocation (budgeting) problems. In PriEsT, you enter a list of available options and then define your criteria for prioritization. After defining criteria, PriEsT allows you to enter your judgements against each criterion, which are then used to calculate the final ranking (or weights).
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    Downloads: 24 This Week
    Last Update:
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  • 4

    MultiRank

    A customisable Elo-based ranking algorithm suitable for all situations

    I am sick of people saying Elo-based rankings sytems are difficult to implement, particularly in the case of more than two competitors. MultiRank is a fully-customisable Elo-based ranking solution suitable for any situation or number of competitors. Whilst it is written in PHP, it can easily be ported to other languages. A file is included with examples of usage for many situations.
    Downloads: 0 This Week
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  • 5
    Search engine to help in user understanding of the concepts behind indexing, parsing, clustering, relevance feedback and ranking.
    Downloads: 0 This Week
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